[HTML][HTML] Credit card fraud detection in the era of disruptive technologies: A systematic review
Credit card fraud is becoming a serious and growing problem as a result of the emergence
of innovative technologies and communication methods, such as contactless payment. In …
of innovative technologies and communication methods, such as contactless payment. In …
A fuzzy C-means algorithm for optimizing data clustering
SE Hashemi, F Gholian-Jouybari… - Expert Systems with …, 2023 - Elsevier
Big data has increasingly become predominant in many research fields affecting human
knowledge, including medicine and engineering. Cluster analysis, or clustering, is widely …
knowledge, including medicine and engineering. Cluster analysis, or clustering, is widely …
Computer based diagnosis of some chronic diseases: a medical journey of the last two decades
Disease prediction from diagnostic reports and pathological images using artificial
intelligence (AI) and machine learning (ML) is one of the fastest emerging applications in …
intelligence (AI) and machine learning (ML) is one of the fastest emerging applications in …
Boundary-aware local density-based outlier detection
F Aydın - Information Sciences, 2023 - Elsevier
Outlier detection is crucial for improving the performance of machine learning algorithms
and is particularly vital in data sets possessing a small number of points. While the existing …
and is particularly vital in data sets possessing a small number of points. While the existing …
Microstructural segmentation using a union of attention guided U-Net models with different color transformed images
Metallographic images or often called the microstructures contain important information
about metals, such as strength, toughness, ductility, corrosion resistance, which are used to …
about metals, such as strength, toughness, ductility, corrosion resistance, which are used to …
Survey on extreme learning machines for outlier detection
In a two-class classification task, if the number of examples of one class (majority) is much
greater than that of another class (minority), then the classification is said to be class …
greater than that of another class (minority), then the classification is said to be class …
Customs valuation assessment using cluster-based approach
Customs duties are vital for national revenue, and deviations in declared values can lead to
economic instability. This paper introduces a novel cluster-based approach for detecting …
economic instability. This paper introduces a novel cluster-based approach for detecting …
Bionic visual navigation model for enhanced template matching and loop closing in challenging lighting environments
H Xu, S Yu, R Sun, L Sun - Complex & Intelligent Systems, 2024 - Springer
In recent years, various computational models have been proposed in neuroscience, but
only a few have been utilized in robot visual navigation through engineering approaches …
only a few have been utilized in robot visual navigation through engineering approaches …
A Novel Filtering Method of Travel-Time Outliers Extracted from Large-Scale Traffic Checkpoint Data
W Qi, B Rao, C Fu - Journal of Transportation Engineering, Part A …, 2024 - ascelibrary.org
The traffic checkpoint data collected by video detection and license plate recognition
technologies contain abundant traffic information such as vehicle travel time and path …
technologies contain abundant traffic information such as vehicle travel time and path …